Senior Manager, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership and lead the comprehensive delivery of data architecture and pipeline solutions, encompassing planning, requirements gathering, design, construction, and testing.

• Create and enhance the semantic layer as a controlled single source of truth for business intelligence and reporting purposes.

• Spearhead sprint planning and operations, including the execution of sprints, planning for releases, delivery of releases, and resolution of dependencies and blockers.

• Monitor sprint delivery metrics, operational efficiency, and DevOps performance to facilitate ongoing improvement.

• Design and implement data quality frameworks featuring monitoring, alerting, root cause analysis, troubleshooting, resolution, impact assessment, and sizing for essential pipelines.

• Establish foundational capabilities in MLOps, machine learning, feature engineering, and integration of ML/AI platforms.

• Oversee and continually enhance data architecture and pipelines, ensuring adherence to monitoring standards and operational controls.

• Collaborate with teams in Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy.

• Develop, execute, track, and manage project plans while balancing competing priorities.

• Ensure clear visibility into progress, risks, and dependencies through consistent tracking and communication.

• Mentor team members in creating data solutions, implementing data quality practices, reviewing standards, and maintaining documentation.

• Manage and cultivate team members or contractors through expectations, feedback, and coaching efforts.

⛳️ Requirements

• A strong passion and commitment to KIPP’s mission, along with the ability to uphold KIPP’s Core Values.

• Proven self-management across various workstreams and the capacity to drive results through collaboration with direct reports and peers.

• Competence in developing and executing project plans, managing competing priorities, effectively delegating tasks, and maintaining knowledge management systems.

• Ability to establish, align, and uphold goals, project plans, processes, and knowledge management systems.

• Independent problem-solving skills, initiative, risk anticipation, and proactive development of solutions.

• Experience in developing and mentoring teammates, establishing performance and developmental goals, and providing constructive feedback.

• Proficiency in SQL, Spark, PySpark, management and architecture of on-premises and cloud-based data platforms, CI/CD, ETL/data pipelines, version control, SSIS, agile sprint operations, project management tools, and machine learning principles.

• At least 8 years of professional experience in data engineering, infrastructure engineering, or a closely related technical discipline.

• Familiarity with SQL-based data platforms like SQL Server and modern cloud data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks.

• Experience overseeing agile sprint operations and managing DevOps metrics.

• Proficiency in JIRA or a comparable project and sprint planning tool.

• Experience utilizing Git-based version control and CI/CD platforms such as Bitbucket, GitHub, and Azure DevOps.

• Strong technical expertise in SSIS, Spark, PySpark, and SQL.

• Experience in managing data platform operations and constructing/managing ETLs and pipelines.

• Proven experience in managing and mentoring data engineers.

• Understanding of ML workflows and ML/AI enablement for data platforms.

• Experience with SQL Server and MS Fabric/OneLake is preferred.

• Bachelor’s degree in data engineering, computer science, or a related field.

• A Master’s degree is preferred.

• Minimal travel required: 10% (approximately 20 days per year).

🏝️ Benefits

• 25 holidays.

• 18 additional flexible PTO days, increasing to 23 days for years 3 and 4, and 28 days for years 5 and beyond.

• 100% paid parental leave.

• 100% coverage of employee medical, dental, and vision plan premiums.

• 75% coverage of premiums for employee + family medical, dental, and vision plans.

• Fitness reimbursements.

• Discounted tickets to theme parks and attractions.

• Backup care support for children and adults/elders.

• Employee assistance program.

• 401K retirement plan with a 4% match.

• Employer-sponsored legal plans.

• Life and disability insurance.

• Flexible spending accounts.

• Option to work from a remote office full-time.